To facilitate the work of winemakers, cellar masters, cooperatives, merchants and sommeliers, PINOT supports the human perception of nose, tongue and mouth with sensors and artificial intelligence. PINOT complements human perception with reproducible measurements that reflect the relevant sensory parameters. The measurements are made with sensors and the digitally available data is translated into metrics for grapes, must and wine with artificial intelligence. These metrics are designed in such a way that recommendations for action for winemakers and cellar masters can be derived from them. Furthermore, the measured values and metrics are translated by artificial intelligence into texts that describe the taste of wines in a way that is comprehensible to humans. This will help retailers to more reliably and easily detect incorrect deliveries or fraud. Thus, the goals of the project are on the one hand the research of suitable digital sensor systems, which can be used in the field or in the trade as mobile handheld devices and in the cellar or trade as laboratory systems. On the other hand, software systems will be prototyped which can document and analyze the measured values. Furthermore, software systems are prototypically implemented in PINOT, which translate the measured values with artificial intelligence into suitable metrics and texts. This will make it possible to digitally record the taste of wine throughout the wine production chain, from the grape to the consumer, and PINOT will thus pave the way for future research and optimization in these work processes.
|Consortium||Weincampus Neustadt am Dienstleistungszentrum Ländlicher Raum (DLR) Rheinpfalz (consortium coordinator), Umwelt-Campus Birkenfeld der Hochschule Trier, Fraunhofer Institute for Integrated Circuits (IIS), Genie Enterprise Inc., Wille Engineering, Vineyard Cloud GmbH, Weingut Lergenmüller Gbr.|
|Duration||March 2021 - March 2024|
|Funded by||German Federal Ministry of Food and Agriculture in the "Digitalization in Agriculture" program|
|Funding amount||2,974,792 €, Trier University share: 434,138 €.|
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